Scheduling method and device of industrial and commercial energy storage system

Abstract

The embodiment of the invention provides an industrial and commercial energy storage system scheduling method and device, and the method comprises the steps: collecting the historical load data and environment information of each industrial and commercial power station, predicting predicted load data of each industrial and commercial power station in a plurality of time steps in the future by using the historical load data and the environment information of each industrial and commercial power station, and calculating baseline load data of each industrial and commercial power station by using the historical load data of each industrial and commercial power station; judging whether each industrial and commercial power station meets a scheduling condition or not by utilizing the predicted load data and the baseline load data of each industrial and commercial power station; and when it is judged that the industrial and commercial power stations conform to the scheduling conditions, calculating the load scheduling space of each industrial and commercial power station conforming to the scheduling conditions, and performing real-time scheduling of charging and discharging by using the load scheduling space of each industrial and commercial power station conforming to the scheduling conditions.

Description

Technical Field

[0001] The present application relates to the technical field of power system management, and in particular to a scheduling method and device for an industrial and commercial energy storage system. Background Art

[0002] In modern power systems, with the gradual popularization of renewable energy and the widespread application of distributed energy, the load volatility of industrial and commercial users is increasing. Traditional dispatching methods are based on static rules and lack the ability to dynamically respond to real-time load changes, which significantly affects the stability and efficiency of the power grid. At the same time, the advancement of energy storage technology has provided a new solution for peak load shaving and valley filling of power grids, but how to efficiently dispatch energy storage resources remains a technical challenge. Therefore, there is an urgent need for an intelligent dispatching system that can predict load demand in real time and optimize the allocation of power resources to achieve stable operation and economic benefits of the power system. Summary of the invention

[0003] In view of this, an embodiment of the present application provides a scheduling method for an industrial and commercial energy storage system. One or more embodiments of the present application also relate to a scheduling device for an industrial and commercial energy storage system, a computing device, a computer-readable storage medium, and a computer program to solve the technical defects existing in the prior art.

[0004] According to a first aspect of an embodiment of the present application, a scheduling method for an industrial and commercial energy storage system is provided, comprising:

[0005] Collect historical load data and environmental information of each industrial and commercial power site, and use the historical load data and environmental information of each industrial and commercial power site to predict the predicted load data of each industrial and commercial power site at multiple future time steps, and use the historical load data of each industrial and commercial power site to calculate the baseline load data of each industrial and commercial power site;

[0006] Using the forecast load data and baseline load data of each industrial and commercial power site, determining whether each industrial and commercial power site meets the dispatch conditions;

[0007] When it is determined that an industrial and commercial power site meets the dispatching conditions, the load dispatching space of each industrial and commercial power site that meets the dispatching conditions is calculated, and the load dispatching space of each industrial and commercial power site that meets the dispatching conditions is used to perform real-time scheduling of charging and discharging.

[0008] Preferably, the calculating the baseline load data of each industrial and commercial power site using the historical load data of each industrial and commercial power site comprises:

[0009] Calculate the average load data for each reference day based on the load data for a specified time period on each reference day in the historical load data of each industrial and commercial power station;

[0010] According to the average load data of each reference day, a reference day that meets the requirements of the load baseline rule is screened out, and the reference day that meets the requirements of the load baseline rule is used as the baseline load reference day;

[0011] The baseline load data of each industrial and commercial power site is calculated based on the average load data of the baseline load reference day.

[0012] Preferably, based on the average load data of each reference day, a reference day that meets the requirements of the load baseline rule is screened out and used as the baseline load reference day, including:

[0013] According to the average load data of each reference day and the set number of reference days, the average load data of the reference days is calculated;

[0014] Based on the average load data of each reference day and the average load data of the reference days, the reference days that meet the requirements of the load baseline rule are screened out and used as the baseline load reference days.

[0015] Preferably, using the forecast load data and baseline load data of each industrial and commercial power site to determine whether each industrial and commercial power site meets the dispatching conditions includes:

[0016] When the industrial and commercial power site is in a peak power consumption period in the current time period, obtaining a first energy storage rated capacity, a first actual maximum load and / or a first actual average load of the industrial and commercial power site in the current time period;

[0017] If the difference between the first actual maximum load and the first energy storage rated capacity is not greater than the first baseline maximum load and / or the difference between the first actual average load and the first energy storage rated capacity is not greater than the first baseline average load, it is determined that the industrial and commercial power site meets the dispatching conditions;

[0018] If the difference between the first actual maximum load and the first energy storage rated capacity is greater than the first baseline maximum load and / or the difference between the first actual average load and the first energy storage rated capacity is greater than the first baseline average load, it is determined that the industrial and commercial power site does not meet the scheduling conditions.

[0019] Preferably, using the forecast load data and baseline load data of each industrial and commercial power site to determine whether each industrial and commercial power site meets the dispatching conditions further includes:

[0020] When the industrial and commercial power site is in a low power consumption period in the current time period, obtaining a second energy storage rated capacity, a second actual maximum load and / or a second actual average load and / or an actual valley filling peak shaving amount of the industrial and commercial power site in the current time period;

[0021] If the difference between the second actual maximum load and the second energy storage rated capacity is not less than the second baseline maximum load and / or the difference between the second actual average load and the second energy storage rated capacity is not less than the second baseline average load and / or the actual valley-filling peak-shaving amount is not greater than a preset percentage of a preset maximum capacity limit, it is determined that the industrial and commercial power site meets the dispatching conditions;

[0022] If the difference between the second actual maximum load and the second energy storage rated capacity is less than the second baseline maximum load and / or the difference between the second actual average load and the second energy storage rated capacity is less than the second baseline average load and / or the actual valley filling peak load is greater than a preset percentage of the preset maximum capacity limit, it is judged that the industrial and commercial power site does not meet the scheduling conditions.

[0023] Preferably, calculating the load dispatch space of each industrial and commercial power site that meets the dispatch conditions includes:

[0024] Obtain the energy storage rated capacity, baseline load and forecast load of industrial and commercial power stations at the dispatch time respectively;

[0025] The load dispatch space of the industrial and commercial power site is calculated using the energy storage rated capacity, the baseline load and the predicted load.

[0026] Preferably, the real-time scheduling of charging and discharging using the load scheduling space of each industrial and commercial power site that meets the scheduling conditions includes:

[0027] Calculate the optimal charging and discharging strategy for each industrial and commercial power site that meets the dispatching conditions according to the predicted load, charging and discharging efficiency, maximum power, discharge depth and transformer capacity of each industrial and commercial power site that meets the dispatching conditions;

[0028] The optimal charging and discharging strategy of each industrial and commercial power site that meets the dispatching conditions and the load dispatching space are used to perform real-time charging and discharging dispatching of each industrial and commercial power site that meets the dispatching conditions.

[0029] According to a second aspect of an embodiment of the present application, a scheduling device for an industrial and commercial energy storage system is provided, comprising:

[0030] An acquisition module is configured to collect historical load data and environmental information of each industrial and commercial power site, and use the historical load data and environmental information of each industrial and commercial power site to predict the predicted load data of each industrial and commercial power site at multiple future time steps, and use the historical load data of each industrial and commercial power site to calculate the baseline load data of each industrial and commercial power site;

[0031] A judgment module is configured to use the predicted load data and baseline load data of each industrial and commercial power site to judge whether each industrial and commercial power site meets the dispatching conditions;

[0032] The scheduling module is configured to calculate the load scheduling space of each industrial and commercial power site that meets the scheduling conditions when it is determined that the industrial and commercial power site meets the scheduling conditions, and use the load scheduling space of each industrial and commercial power site that meets the scheduling conditions to perform real-time scheduling of charging and discharging.

[0033] According to a third aspect of an embodiment of the present application, a computing device is provided, including:

[0034] Memory and processor;

[0035] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement any step of the scheduling method for the industrial and commercial energy storage system.

[0036] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of any one of the methods for scheduling industrial and commercial energy storage systems are implemented.

[0037] According to a fifth aspect of an embodiment of the present application, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned scheduling method for industrial and commercial energy storage systems.

[0038] The scheduling scheme for the industrial and commercial energy storage system provided in the embodiment of the present application collects the historical load data and environmental information of each industrial and commercial power site, and uses the historical load data and environmental information of each industrial and commercial power site to predict the predicted load data of each industrial and commercial power site in multiple future time steps, and uses the historical load data of each industrial and commercial power site to calculate the baseline load data of each industrial and commercial power site; uses the predicted load data and baseline load data of each industrial and commercial power site to determine whether each industrial and commercial power site meets the scheduling conditions; when it is determined that the industrial and commercial power site meets the scheduling conditions, calculates the load scheduling space of each industrial and commercial power site that meets the scheduling conditions, and uses the load scheduling space of each industrial and commercial power site that meets the scheduling conditions to perform real-time scheduling of charging and discharging. The scheduling scheme for the industrial and commercial energy storage system provided in the embodiment of the present application is specially designed for industrial and commercial energy storage systems, and aims to achieve accurate prediction and dynamic scheduling of power grid loads through real-time data collection and advanced prediction algorithms, which can effectively adjust the allocation of power resources, promote load peak shaving and valley filling, and improve the efficiency and stability of power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1is a flow chart of a scheduling method for an industrial and commercial energy storage system provided by an embodiment of the present application;

[0040] Figure 2 is a schematic diagram of a dispatching device for an industrial and commercial energy storage system provided by an embodiment of the present application;

[0041] Figure 3 It is an overall flow chart of a dispatching method for an industrial and commercial energy storage system provided by an embodiment of the present application;

[0042] Figure 4 It is a structural block diagram of a computing device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0043] Many specific details are described in the following description to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present application, so the present application is not limited by the specific implementation disclosed below.

[0044] The terms used in one or more embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present application. The singular forms of "a", "said" and "the" used in one or more embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of the present application refers to and includes any or all possible combinations of one or more associated listed items.

[0045] It should be understood that, although the terms first, second, etc. may be used to describe various information in one or more embodiments of the present application, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0046] In the present application, a scheduling method for an industrial and commercial energy storage system is provided. The present application also relates to a scheduling device for an industrial and commercial energy storage system, a computing device, a computer-readable storage medium, and a computer program, which are described in detail one by one in the following embodiments.

[0047] Figure 1 A flow chart of a method for scheduling an industrial and commercial energy storage system provided according to an embodiment of the present application is shown, which specifically includes the following steps.

[0048] Step S101: collecting historical load data and environmental information of each industrial and commercial power site, and using the historical load data and environmental information of each industrial and commercial power site to predict the predicted load data of each industrial and commercial power site in multiple future time steps, and at the same time using the historical load data of each industrial and commercial power site to calculate the baseline load data of each industrial and commercial power site;

[0049] In one embodiment of the present application, the use of historical load data of each industrial and commercial power site to calculate the baseline load data of each industrial and commercial power site includes:

[0050] Calculate the average load data for each reference day based on the load data for a specified time period on each reference day in the historical load data of each industrial and commercial power station;

[0051] According to the average load data of each reference day, a reference day that meets the requirements of the load baseline rule is screened out, and the reference day that meets the requirements of the load baseline rule is used as the baseline load reference day;

[0052] The baseline load data of each industrial and commercial power site is calculated based on the average load data of the baseline load reference day.

[0053] In one embodiment of the present application, based on the average load data of each reference day, a reference day that meets the requirements of the load baseline rule is screened out and used as the baseline load reference day, including:

[0054] According to the average load data of each reference day and the set number of reference days, the average load data of the reference days is calculated;

[0055] Based on the average load data of each reference day and the average load data of the reference days, the reference days that meet the requirements of the load baseline rule are screened out and used as the baseline load reference days.

[0056] Step S102: using the forecast load data and baseline load data of each industrial and commercial power site, determining whether each industrial and commercial power site meets the dispatching conditions;

[0057] In one embodiment of the present application, using the predicted load data and baseline load data of each industrial and commercial power site, determining whether each industrial and commercial power site meets the dispatching conditions includes:

[0058] When the industrial and commercial power site is in a peak power consumption period in the current time period, obtaining a first energy storage rated capacity, a first actual maximum load and / or a first actual average load of the industrial and commercial power site in the current time period;

[0059] If the difference between the first actual maximum load and the first energy storage rated capacity is not greater than the first baseline maximum load and / or the difference between the first actual average load and the first energy storage rated capacity is not greater than the first baseline average load, it is determined that the industrial and commercial power site meets the dispatching conditions;

[0060] If the difference between the first actual maximum load and the first energy storage rated capacity is greater than the first baseline maximum load and / or the difference between the first actual average load and the first energy storage rated capacity is greater than the first baseline average load, it is determined that the industrial and commercial power site does not meet the scheduling conditions.

[0061] In one embodiment of the present application, using the predicted load data and baseline load data of each industrial and commercial power site, determining whether each industrial and commercial power site meets the scheduling conditions further includes:

[0062] When the industrial and commercial power site is in a low power consumption period in the current time period, obtaining a second energy storage rated capacity, a second actual maximum load and / or a second actual average load and / or an actual valley filling peak shaving amount of the industrial and commercial power site in the current time period;

[0063] If the difference between the second actual maximum load and the second energy storage rated capacity is not less than the second baseline maximum load and / or the difference between the second actual average load and the second energy storage rated capacity is not less than the second baseline average load and / or the actual valley-filling peak-shaving amount is not greater than a preset percentage of a preset maximum capacity limit, it is determined that the industrial and commercial power site meets the dispatching conditions;

[0064] If the difference between the second actual maximum load and the second energy storage rated capacity is less than the second baseline maximum load and / or the difference between the second actual average load and the second energy storage rated capacity is less than the second baseline average load and / or the actual valley filling peak load is greater than a preset percentage of the preset maximum capacity limit, it is judged that the industrial and commercial power site does not meet the scheduling conditions.

[0065] Step S103: When it is determined that the industrial and commercial power site meets the dispatching conditions, the load dispatching space of each industrial and commercial power site that meets the dispatching conditions is calculated, and the load dispatching space of each industrial and commercial power site that meets the dispatching conditions is used to perform real-time scheduling of charging and discharging.

[0066] In one embodiment of the present application, calculating the load dispatch space of each industrial and commercial power site that meets the dispatch conditions includes:

[0067] Obtain the energy storage rated capacity, baseline load and forecast load of industrial and commercial power stations at the dispatch time respectively;

[0068] The load dispatch space of the industrial and commercial power site is calculated using the energy storage rated capacity, the baseline load and the predicted load.

[0069] In one embodiment of the present application, the real-time scheduling of charging and discharging using the load scheduling space of each industrial and commercial power site that meets the scheduling conditions includes:

[0070] Calculate the optimal charging and discharging strategy for each industrial and commercial power site that meets the dispatching conditions according to the predicted load, charging and discharging efficiency, maximum power, discharge depth and transformer capacity of each industrial and commercial power site that meets the dispatching conditions;

[0071] The optimal charging and discharging strategy of each industrial and commercial power site that meets the dispatching conditions and the load dispatching space are used to perform real-time charging and discharging dispatching of each industrial and commercial power site that meets the dispatching conditions.

[0072] The scheduling scheme for industrial and commercial energy storage systems provided in the embodiments of the present application is specially designed for industrial and commercial energy storage systems. It aims to achieve accurate prediction and dynamic scheduling of power grid loads through real-time data collection and advanced prediction algorithms, and can effectively adjust the allocation of power resources, promote load peak shaving and valley filling, and improve the efficiency and stability of power grid operation.

[0073] The following combination Figure 3 Taking the application of the dispatching method of the industrial and commercial energy storage system provided by the present application in the field of power system management as an example, the dispatching method of the industrial and commercial energy storage system is further explained. Figure 3 A processing flow chart of a scheduling method for an industrial and commercial energy storage system provided in one embodiment of the present application is shown, which specifically includes the following steps.

[0074] Step S301: Collecting real-time power consumption data from power stations of industrial and commercial users;

[0075] Including historical load data and environmental parameters. Historical load data generally refers to: user load data in the past 3-6 months. Environmental parameters: energy storage system parameters, such as current, voltage, etc. High-precision sensors and advanced communication technology are used to ensure the accuracy and timeliness of data. Data types include load, rated power, rated capacity, etc.

[0076] Step S302: using historical load data, filtering baseline load reference days according to reference day elimination rules, and calculating baseline load;

[0077] Calculate the average load Pavi,d:

[0078] For each reference day d, calculate the average load Pavi,d during the specified period (7:00 to 23:00):

[0079]

[0080] Among them, T = 16 is the number of hours in the period, Load d,t is the load on reference day d at time t.

[0081] Calculation of 5-day average load Pav:

[0082] Calculate the average load for 5 reference days:

[0083]

[0084] Elimination rules:

[0085] Eliminate the avi,d <0.75×P av A new reference date is selected until five qualifying reference dates are found, with a maximum forward recursion of 45 days.

[0086] Final Baseline Load Calculation:

[0087] Eliminate the reference day with the lowest load average, and use the load average of the remaining reference days as the final baseline load:

[0088]

[0089] Where N is the total number of reference days that meet the criteria.

[0090] The above is the processing for working days. The same applies to special dates and holidays:

[0091] Baseline load calculation for Saturdays and Sundays: Select the three Saturdays / Sundays before the invitation day as baseline reference days, and the calculation method is the same as that for weekdays.

[0092] Holiday baseline load calculation: Select the same historical period when load management was not performed (the same statutory holiday last year) as the baseline reference day.

[0093] Step S303: Use a deep learning algorithm (such as a long short-term memory network LSTM) to perform load forecasting for multiple future time steps.

[0094] This module combines historical data and real-time data to generate a forecast curve for future power demand. The model can adaptively adjust parameters to improve forecast accuracy and adapt to the load characteristics of different industrial and commercial users. In other words, the deep learning algorithm LSTM model is applied, and the historical load construction time features are used as the algorithm feature input to predict future load data. The forecast results include load forecast values ​​for multiple time steps within the next day.

[0095] Screening of power stations: Screen eligible power stations based on the assessment criteria of dispatching transaction types.

[0096] The selection of power stations is based on two strategies: Peak Shaving and Valley Filling. Peak Shaving: During peak power consumption, the system dynamically adjusts the discharge power of the energy storage system to reduce the peak load of the power grid. Valley Filling: During low power consumption, the system increases the charging power of the energy storage system to smooth the power load curve. Each strategy has a set of conditions that determine whether a power station is eligible to participate in the dispatch.

[0097] Peak shaving strategy conditions: The purpose of the peak shaving strategy is to reduce the power load during peak hours. The conditions are as follows:

[0098] Actual maximum load is less than or equal to baseline maximum load:

[0099] ActualMax i -RatedPower i ≤BaselineMax i

[0100] ActualMax i It represents the actual maximum load of power station i during the dispatching period, and its value is the maximum predicted load.

[0101] RatedPower i Represents the rated energy storage capacity of power station i.

[0102] BaselineMax i represents the baseline maximum load of power station i during the same period.

[0103] Or the actual average load is less than or equal to the baseline average load:

[0104] ActualMean i -RatedPower i ≤BaselineMean i

[0105] ActualMean i It represents the actual average load of power station i during the dispatch period, and its value is the average value of the predicted load.

[0106] BaselineMean i represents the baseline average load of power station i during the same period.

[0107] Valley filling strategy conditions: The purpose of the valley filling strategy is to increase the power load during the low power consumption period. The conditions are as follows:

[0108] Actual maximum load is greater than or equal to baseline maximum load:

[0109] ActualMax i -RatedPower i ≥BaselineMax i

[0110] ActualMax i It represents the actual maximum load of power station i during the dispatching period, and its value is the maximum predicted load.

[0111] BaselineMax i represents the baseline maximum load of power station i during the same period.

[0112] RatedPower i Represents the rated energy storage capacity of power station i.

[0113] Or the actual average load is greater than or equal to the baseline average load:

[0114] ActualMean i -RatedPower i ≥BaselineMean i

[0115] ActualMean i It represents the actual average load of power station i during the dispatch period, and its value is the average value of the predicted load.

[0116] BaselineMean i represents the baseline average load of power station i during the same period.

[0117] RatedPower i Represents the rated energy storage capacity of power station i.

[0118] Or the actual valley-filling peak load (kW) is less than or equal to 50% of the maximum capacity:

[0119]

[0120] BaseLoad i,t represents the baseline load of power station i at dispatch time t

[0121] PredictedLoad i,t represents the predicted load of power station i at dispatch time t

[0122] RatedPower i Represents the rated energy storage capacity of power station i.

[0123] max_capacity is the predefined maximum capacity limit in kilowatts.

[0124] Step S304: Calculate the load dispatch space using the baseline load, the predicted load and the power station rated power;

[0125] Calculate the response load of each power station during the response period to ensure that the load is lower than the baseline load during peak shaving and higher than the baseline load during valley filling.

[0126] dispathCapacity i,t =TrueLoad i,t -(PredictedLoad i,t -RatedPower i )

[0127] dispathCapacity i,t Represents the load dispatch space of power station i at dispatch time t.

[0128] TrueLoad i,t represents the baseline load of power station i at the dispatching time t.

[0129] PredictedLoad i,t represents the predicted load of power station i at the dispatching time t.

[0130] RatedPower i Represents the rated energy storage capacity of power station i.

[0131] Step S305: The calculated scheduling space change is combined with the final charging and discharging strategy obtained by MILP to adjust the scheduling strategy in real time;

[0132] Dynamic programming and mixed integer linear programming (MILP) are used to optimize the power dispatching strategy. According to the forecast load and baseline load adjustment strategy, a peak-shaving and valley-filling strategy is formulated to ensure the efficient use of power resources. Multiple factors such as dispatching cost, grid stability, and energy storage equipment life are considered for optimization.

[0133] MILP algorithm: The mixed integer linear programming (MILP) algorithm is used to calculate the optimal charging and discharging strategy for each power station based on the predicted load value, charging and discharging efficiency, maximum power on the AC side, maximum power on the DC side, discharge depth, transformer capacity and other parameters of the power station to assist in optimizing the power dispatching strategy.

[0134] Real-time adjustment: The system can adjust the scheduling strategy in real time according to actual load changes and optimal charging and discharging strategies to ensure system flexibility and adaptability.

[0135] Step S306: Provide intuitive load forecasting and scheduling solution display.

[0136] Users can view real-time data, historical data and system scheduling suggestions through this module. It supports remote management and control, and users can adjust policy parameters according to their needs.

[0137] The embodiment of this application is designed for industrial and commercial energy storage systems. Through real-time data collection, load forecasting and scheduling optimization, the power grid can be shaving peaks and filling valleys, improving the efficiency and stability of power grid operation. The system can dynamically respond to changes in power demand, optimize power resource allocation, and reduce operating costs, and is suitable for different types of industrial and commercial users.

[0138] The embodiment of the present application also provides an intelligent dispatching system for peak load shaving and valley filling of industrial and commercial energy storage systems, including:

[0139] Data acquisition module, used to collect and process real-time power consumption data of industrial and commercial power stations;

[0140] Load forecasting module, which uses deep learning algorithms to predict future loads based on historical and real-time data;

[0141] The baseline load calculation module obtains the actual load 5 days before the invitation date, filters the reference day according to the reference day elimination rules, determines the reference day, and calculates the baseline load.

[0142] The dispatch optimization module uses a mixed integer linear programming optimization algorithm to obtain the optimal charging and discharging strategy. The optimal charging and discharging strategy is combined with the load dispatch space to adjust the dispatch strategy in real time.

[0143] User interface module, providing visual display of load forecasting and scheduling information.

[0144] Among them, the load forecasting module can adaptively adjust model parameters to improve forecasting accuracy.

[0145] Among them, the scheduling optimization module implements the peak shaving strategy during the peak electricity consumption period and the valley filling strategy during the valley electricity consumption period.

[0146] The embodiment of this application is designed for industrial and commercial energy storage systems. Through real-time data collection, load forecasting and scheduling optimization, the power grid can be shaving peaks and filling valleys, improving the efficiency and stability of power grid operation. The system can dynamically respond to changes in power demand, optimize power resource allocation, and reduce operating costs, and is suitable for different types of industrial and commercial users.

[0147] The present application also provides an embodiment of a dispatching device for an industrial and commercial energy storage system. Figure 2 FIG. 1 is a schematic diagram showing a structure of a dispatching device for an industrial and commercial energy storage system provided by an embodiment of the present application. Figure 2 As shown, the device comprises:

[0148] The acquisition module 201 is configured to collect historical load data and environmental information of each industrial and commercial power site, and use the historical load data and environmental information of each industrial and commercial power site to predict the predicted load data of each industrial and commercial power site at multiple future time steps, and use the historical load data of each industrial and commercial power site to calculate the baseline load data of each industrial and commercial power site;

[0149] The judgment module 202 is configured to use the predicted load data and the baseline load data of each industrial and commercial power site to judge whether each industrial and commercial power site meets the dispatching conditions;

[0150] The scheduling module 203 is configured to calculate the load scheduling space of each industrial and commercial power site that meets the scheduling conditions when it is determined that the industrial and commercial power site meets the scheduling conditions, and use the load scheduling space of each industrial and commercial power site that meets the scheduling conditions to perform real-time scheduling of charging and discharging.

[0151] The above is a schematic scheme of a dispatching device for an industrial and commercial energy storage system of this embodiment. It should be noted that the technical scheme of the dispatching device for the industrial and commercial energy storage system and the technical scheme of the dispatching method for the industrial and commercial energy storage system described above belong to the same concept, and the details of the technical scheme of the dispatching device for the industrial and commercial energy storage system that are not described in detail can all be referred to the description of the technical scheme of the dispatching method for the industrial and commercial energy storage system described above.

[0152] Figure 4 The block diagram of a computing device 400 according to an embodiment of the present application is shown. The components of the computing device 400 include but are not limited to a memory 410 and a processor 420. The processor 420 is connected to the memory 410 via a bus 430, and the database 450 is used to store data.

[0153] The computing device 400 also includes an access device 440 that enables the computing device 400 to communicate via one or more networks 460. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 440 may include one or more of any type of network interface (e.g., a network interface card (NIC)) wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a World Wide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, a near field communication (NFC) interface, and the like.

[0154] In one embodiment of the present application, the above components of the computing device 400 and Figure 4Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 4 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of the present application. Those skilled in the art may add or replace other components as needed.

[0155] Computing device 400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or PC. Computing device 400 may also be a mobile or stationary server.

[0156] The processor 420 is used to execute the following computer executable instructions, which, when executed by the processor, implement the steps of the above-mentioned industrial and commercial energy storage system scheduling method.

[0157] The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the scheduling method of the above-mentioned industrial and commercial energy storage system belong to the same concept, and the details not described in detail in the technical scheme of the computing device can be referred to the description of the technical scheme of the scheduling method of the above-mentioned industrial and commercial energy storage system.

[0158] An embodiment of the present application further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned industrial and commercial energy storage system scheduling method.

[0159] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the scheduling method of the above-mentioned industrial and commercial energy storage system belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the scheduling method of the above-mentioned industrial and commercial energy storage system.

[0160] An embodiment of the present application further provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned scheduling method for industrial and commercial energy storage systems.

[0161] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the dispatching method of the industrial and commercial energy storage system mentioned above are of the same concept, and the details not described in detail in the technical scheme of the computer program can be referred to the description of the technical scheme of the dispatching method of the industrial and commercial energy storage system mentioned above.

[0162] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0163] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0164] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present application are not limited by the described action sequence, because according to the embodiments of the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of the present application.

[0165] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0166] The preferred embodiments of the present application disclosed above are only used to help explain the present application. The optional embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of the embodiments of the present application. The present application selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of the present application, so that those skilled in the art can understand and use the present application well. The present application is only limited by the claims and their full scope and equivalents.

Claims

1. A dispatching method for an industrial and commercial energy storage system, characterized in that: include: Collect historical load data and environmental information of each industrial and commercial power site, and use the historical load data and environmental information of each industrial and commercial power site to predict the predicted load data of each industrial and commercial power site at multiple future time steps, and use the historical load data of each industrial and commercial power site to calculate the baseline load data of each industrial and commercial power site; Using the forecast load data and baseline load data of each industrial and commercial power site, determining whether each industrial and commercial power site meets the dispatch conditions; When it is determined that an industrial and commercial power site meets the dispatching conditions, the load dispatching space of each industrial and commercial power site that meets the dispatching conditions is calculated, and the load dispatching space of each industrial and commercial power site that meets the dispatching conditions is used to perform real-time scheduling of charging and discharging.

2. The dispatching method of industrial and commercial energy storage system according to claim 1, characterized in that: The method of calculating the baseline load data of each industrial and commercial power site by using the historical load data of each industrial and commercial power site includes: Calculate the average load data for each reference day based on the load data for a specified time period on each reference day in the historical load data of each industrial and commercial power station; According to the average load data of each reference day, a reference day that meets the requirements of the load baseline rule is screened out, and the reference day that meets the requirements of the load baseline rule is used as the baseline load reference day; The baseline load data of each industrial and commercial power site is calculated based on the average load data of the baseline load reference day.

3. The dispatching method of industrial and commercial energy storage system according to claim 2, characterized in that: Based on the average load data of each reference day, the reference days that meet the requirements of the load baseline rule are screened out and used as the baseline load reference days, including: According to the average load data of each reference day and the set number of reference days, the average load data of the reference days is calculated; Based on the average load data of each reference day and the average load data of the reference days, the reference days that meet the requirements of the load baseline rule are screened out and used as the baseline load reference days.

4. The dispatching method of industrial and commercial energy storage system according to claim 2, characterized in that: Using the forecast load data and baseline load data of each industrial and commercial power site, determining whether each industrial and commercial power site meets the dispatch conditions includes: When the industrial and commercial power site is in a peak power consumption period in the current time period, obtaining a first energy storage rated capacity, a first actual maximum load and / or a first actual average load of the industrial and commercial power site in the current time period; If the difference between the first actual maximum load and the first energy storage rated capacity is not greater than the first baseline maximum load and / or the difference between the first actual average load and the first energy storage rated capacity is not greater than the first baseline average load, it is determined that the industrial and commercial power site meets the dispatching conditions; If the difference between the first actual maximum load and the first energy storage rated capacity is greater than the first baseline maximum load and / or the difference between the first actual average load and the first energy storage rated capacity is greater than the first baseline average load, it is determined that the industrial and commercial power site does not meet the scheduling conditions.

5. The dispatching method of industrial and commercial energy storage system according to claim 4, characterized in that: Using the forecast load data and baseline load data of each industrial and commercial power site, determining whether each industrial and commercial power site meets the dispatching conditions also includes: When the industrial and commercial power site is in a low power consumption period in the current time period, obtaining a second energy storage rated capacity, a second actual maximum load and / or a second actual average load and / or an actual valley filling peak shaving amount of the industrial and commercial power site in the current time period; If the difference between the second actual maximum load and the second energy storage rated capacity is not less than the second baseline maximum load and / or the difference between the second actual average load and the second energy storage rated capacity is not less than the second baseline average load and / or the actual valley-filling peak-shaving amount is not greater than a preset percentage of a preset maximum capacity limit, it is determined that the industrial and commercial power site meets the dispatching conditions; If the difference between the second actual maximum load and the second energy storage rated capacity is less than the second baseline maximum load and / or the difference between the second actual average load and the second energy storage rated capacity is less than the second baseline average load and / or the actual valley filling peak load is greater than a preset percentage of the preset maximum capacity limit, it is judged that the industrial and commercial power site does not meet the scheduling conditions.

6. The dispatching method of industrial and commercial energy storage system according to claim 2, characterized in that: Calculation of the load dispatch space for each industrial and commercial power station that meets the dispatch conditions includes: Obtain the energy storage rated capacity, baseline load and forecast load of industrial and commercial power stations at the dispatch time respectively; The load dispatch space of the industrial and commercial power site is calculated using the energy storage rated capacity, the baseline load and the predicted load.

7. The dispatching method of industrial and commercial energy storage system according to claim 2, characterized in that: The real-time scheduling of charging and discharging using the load scheduling space of each industrial and commercial power station that meets the scheduling conditions includes: Calculate the optimal charging and discharging strategy for each industrial and commercial power site that meets the dispatching conditions according to the predicted load, charging and discharging efficiency, maximum power, discharge depth and transformer capacity of each industrial and commercial power site that meets the dispatching conditions; The optimal charging and discharging strategy of each industrial and commercial power site that meets the dispatching conditions and the load dispatching space are used to perform real-time charging and discharging dispatching of each industrial and commercial power site that meets the dispatching conditions.

8. A dispatching device for an industrial and commercial energy storage system, characterized in that: include: An acquisition module is configured to collect historical load data and environmental information of each industrial and commercial power site, and use the historical load data and environmental information of each industrial and commercial power site to predict the predicted load data of each industrial and commercial power site at multiple future time steps, and use the historical load data of each industrial and commercial power site to calculate the baseline load data of each industrial and commercial power site; A judgment module is configured to use the predicted load data and baseline load data of each industrial and commercial power site to judge whether each industrial and commercial power site meets the dispatching conditions; The scheduling module is configured to calculate the load scheduling space of each industrial and commercial power site that meets the scheduling conditions when it is determined that the industrial and commercial power site meets the scheduling conditions, and use the load scheduling space of each industrial and commercial power site that meets the scheduling conditions to perform real-time scheduling of charging and discharging.

9. A computing device comprising: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the dispatching method of the industrial and commercial energy storage system described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for dispatching an industrial and commercial energy storage system as claimed in any one of claims 1 to 7.

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